Edge enhancement of gravity anomalies and gravity gradient tensors using an improved small sub-domain filtering method*
Jiang Fu-Yu1 and Gao Li-Kun2
1. Hohai University, School of Earth Sciences and Engineering, Nanjing 210098, China.
2. The First Geological Brigade of Jiangsu Geology and Mineral Exploration Bureau, Nanjing 210041, China.
Abstract In order to enhance geological body boundary visual effects in images andimprove interpretation accuracy using gravity and magnetic field data, we propose an improved small sub-domain filtering method to enhance gravity anomalies and gravity gradient tensors. We discuss the effect of Gaussian white noise on the improved small sub-domain filtering method, as well as analyze the effect of window size on geological body edge recognition at different extension directions. Model experiments show that the improved small sub-domain fi ltering method is less affected by noise, filter window size, and geological body edge direction so it can more accurately depict geological body edges than the conventional small sub-domain filtering method. It also shows that deeply buried body edges can be well delineated through increasing the filter window size. In application, the enhanced gravity anomalies and calculated gravity gradient tensors of the Hulin basin show that the improved small sub-domain filtering can recognize more horizontal fault locations than the conventional method.
This work is supported by the Scientifi c Research Starting Foundation of HoHai University, China (No. 2084/40801136) and the Fundamental Research Funds for the Central Universities (No.2009B12514).
Cite this article:
JIANG Fu-Yu,GAO Li-Kun. Edge enhancement of gravity anomalies and gravity gradient tensors using an improved small sub-domain filtering method*[J]. APPLIED GEOPHYSICS, 2012, 9(2): 119-130.
2012, Vol. 9 
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